Leveraging AWS services to Hack-Proof your Cloud

"Migrating from the data center to the cloud requires us to rethink much of what we do to secure our applications. The idea of physical security morphs as infrastructure becomes virtualized by AWS APIs. In a new world of ephemeral, auto-scaling infrastructure, you need to adapt your security architecture to meet both compliance and security threats.
In the presentation we will cover topics including:

The General Data Protection Regulation (GDPR) becomes enforceable on May 25, 2018. Complying with GDPR can be challenging, but AWS can guide you through the process. This webinar is hosted by a GDPR compliance expert who will explain the automation mechanisms AWS offers its customers to help with their compliance programs. Specific GDPR articles will be matched to tooling, so knowledge of both will be helpful in understanding the material. A Q&A will follow.

In this webinar, you'll learn how to create security workspaces for multiple teams through your AWS account. Discover how IAM works and find out how it integrates with AWS services. In addition, learn how AWS Config rules and AWS Cloud Trial can help you identify and rectify misconfiguration issues quickly and effectively.

Who Should Attend: Technical security professionals, such as DevOps engineers and architects, with a basic understanding of cloud computing concepts and AWS services, but who want further insight into best practices for securing workloads in AWS.

In this webinar, you will learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away.

Through code-level demos of Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.

After the successful launch of AWS re:Start in London, the program is coming to Manchester in March. Join us to hear to from Princes Trust and AWS about the importance of this initiative in the region and how your company can get involved to give a young person a potentially life-changing opportunity and in turn help close the digital skills gap.

In this webinar, discover how AWS customers are using our AI solutions to transform their companies and their products. We'll look at multiple use cases from different industries (media, finance, travel, retail, consumer applications, security and law enforcement), both in the enterprise and the startup settings. We'll also overview the growing family of Amazon AI services and look at how they can help you bring innovative AI capabilities to your own applications.

In recent months, Artificial Intelligence has become the hottest topic in the IT industry. In this session, we’ll explain how Deep Learning — a subset of AI — differs from traditional Machine Learning, and how AWS customers use it to solve complex problems such as computer vision and natural language processing. Then, using Python code, we’ll show you how to start writing and training models using Apache MXNet, a popular library for Deep Learning which supports both CPUs and GPUs. Finally, we’ll demonstrate how you can achieve excellent results quickly by using state-of-the-art, pre-trained models.

Join this webinar to find out how Amazon Web Services (AWS) provides hyperscale cloud infrastructure for running SAP HANA. You will learn about the features of SAP and AWS that support multi-terabyte OLTP and OLAP workloads on HANA, which can be deployed quickly and simply using our QuickStart guides. Additionally, you will discover how to deploy large SAP HANA estates on AWS based on multiple migration options, and how to leverage AWS services to build flexible, redundant, high-availability architectures.

Learning Objectives:

- Discover which SAP HANA solutions are supported on AWS
- Learn how to rapidly scale up and out with SAP HANA on AWS
- Gain the knowledge needed to deploy SAP HANA on AWS with confidence
- Find out how to optimise SAP HANA workloads for AWS

Today’s organisations require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store all of your data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.

Join this webinar to discover how AWS gives you fast access to flexible and low-cost IT resources, so you can rapidly scale and build your data lake that can power any kind of analytics such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity and variety of data.

Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production, and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT, and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.

Amazon Web Services (AWS) provides many options for running hyperscale SAP solutions in the cloud. Additionally, the majority of SAP on-premise products can be run on AWS, including all major RDBMS platforms and Windows/Linux OS platforms. Join this webinar to discover more about these capabilities and services, and how you can use them to deploy your SAP estate on AWS. You can also learn the benefits of running your SAP workloads on AWS and how our customers have leveraged this to achieve real-world business benefits.

Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to get started with Artificial Intelligence on the AWS Cloud. In particular, we will explore AWS cloud-native machine learning and deep learning technologies that address a range of different use cases and needs. These include AWS Lex, which provides natural language understanding (NLU) and automatic speech recognition (ASR); Amazon Rekognition, which provides visual search and image recognition capabilities; Amazon Polly for text-to-speech (TTS) capabilities; and Amazon Machine Learning tools. The session will also cover the AWS Deep Learning AMI, which lets you run deep learning in the cloud at any scale. You can use launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to run sophisticated AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.

Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or backend service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app. Join us on the day and take your serverless computing strategy to the next level.

If you want to deploy your workloads without the burden of managing servers or operating systems, this webinar is for you. During the session, we will explore four re-usable serverless architectural patterns for supporting web apps, stream processing apps, batch processing apps, and automation apps. For each pattern, we provide a TCO analysis and comparison with the server-based equivalent. We also discuss the considerations and nuances associated with each pattern, with AWS customers sharing their experiences of deploying them. The information covered in the webinar is relevant for architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve agility.

Many of the world’s largest enterprises are replacing their traditional SAP server environments with SAP running in the AWS Cloud. As well as increasing business agility and scalability, our cloud platform significantly reduces SAP infrastructure and support costs, simplifies operations and contributes directly to the bottom line.

In this overview webinar, you will learn about:

• How Fortune 50 companies are migrating their SAP workloads to AWS
• How rapid resource provisioning in the cloud can help enterprises be more agile
• How IT, and specifically SAP running in the cloud, can become a competitive differentiator, not just a cost centre
• Typical SAP solutions and use cases deployed on AWS
• Methods for accelerating SAP HANA:registered: implementations — break barriers and move to SAP HANA in less than 48 hours

Data warehousing is a critical component for analysing and extracting actionable insights from your data. Amazon Redshift allows you to deploy a scalable data warehouse in a matter minutes and start to analyse your data right away using your existing business intelligence tools. It’s a fast, fully-managed, and cost-effective data warehousing system. You can analyse all your data using standard SQL and your existing Business Intelligence (BI) tools. Amazon Redshift also includes Redshift Spectrum, allowing you to directly run SQL queries against exabytes of unstructured data in Amazon S3. In this, you will learn how to migrate from existing data warehouses, optimise schemas and load data efficiently. We will also cover analytics tools to help you build visualisations, perform ad-hoc analysis and quickly get business insights from your data.

Learning Objectives:

• Discover best practices for building a data warehouse using Amazon Redshift

• Learn to use Amazon QuickSight for Business Intelligence and AWS Glue for ETL.

Learn how SQL Server on AWS gives you complete control over every setting, without the maintenance, backup and patching requirements of traditional on-site solutions. Discover how to provision and monitor your SQL Server databases in both Amazon RDS and Amazon EC2, and how to optimise scalability, performance, availability, security and disaster recovery.

Amazon Web Services (AWS) offers a wide range of database options to fit your application requirements. From database services that are fully managed and that can be launched in minutes with just a few clicks to self-managed databases running on EC2. AWS managed database services include Amazon Relational Database Service (Amazon RDS), with support for six commonly used database engines, Amazon Aurora, a MySQL and PostgreSQL-compatible relational database, Amazon DynamoDB, a NoSQL database service or Amazon Redshift, a petabyte-scale data warehouse service. AWS also provides the AWS Database Migration Service, a service which makes it easy and inexpensive to migrate your databases to AWS cloud.

In this webinar, we take a closer look at the AWS database offerings and learn how to quickly select, set up, operate, and scale your database in the cloud.

Learning Objectives:

• Gain insights into the AWS database offering and know which to select for your workload.

In our first Windows webinar, find out about the benefits of migrating your Windows workloads to AWS. During the session, we will explain why AWS makes your Windows applications faster, more reliable and more secure. He will also talk about how to bring your own license (BYOL), how to architect, deploy, and manage your Windows platforms on AWS.

In this webinar, we will explain how running SQL Server on AWS gives you complete control over every setting, without the maintenance, backup and patching requirements of traditional on-site solutions. Learn how to provision and monitor your SQL Server databases in both Amazon RDS and Amazon EC2, and how to optimise scalability, performance, availability, security and disaster recovery.